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Fitting Second-Order Parametric Distributions to Data Using Maximum Likelihood Estimation

D. E. Burmaster
K. M. Thompson
Journal / Anthology

Human and Ecological Risk Assessment
Year: 1997

Second-order random variables, i.e., parametric random variables with uncertain parameters, give risk assessors a way to distinguish and represent both the variability and the uncertainty in an exposure variable. In this manuscript, we explore ways to fit second-order random variables to data using maximum likelihood estimation (MLE).

*Mathematics > Probability and Statistics